Amanda Fazzalari1, Natalie Pozzi2, David Alfego3, Nathaniel Erskine4, Qiming Shi3, Gary Tourony5, Jomol Mathew6, Demetrius Litwin4, Mitchell A Cahan7. 1. Department of Surgery, University of Massachusetts Medical School, Worcester, MA; The Stanley J. Dudrick Department of Surgery, Saint Mary's Hospital, Waterbury, CT. 2. The Stanley J. Dudrick Department of Surgery, Saint Mary's Hospital, Waterbury, CT. 3. Division of Data Sciences and Technology, University of Massachusetts Medical School, Worcester, MA. 4. Department of Surgery, University of Massachusetts Medical School, Worcester, MA. 5. Department of Finance, University of Massachusetts Medical Center, Worcester, MA. 6. Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA. 7. Department of Surgery, University of Massachusetts Medical School, Worcester, MA. Electronic address: mitchell.cahan@umassmemorial.org.
Abstract
BACKGROUND: Studies using national data sets have suggested that insurance type drives a disparity in the care of emergency surgery patients. Large databases lack the granularity that smaller, single-institution series may provide. The goal of this study is to identify factors that may account for differences in care between Medicaid and non-Medicaid enrollees with appendicitis in central Massachusetts. METHODS: All adult patients with acute appendicitis in an academic medical center between 2010 and 2018 were included. Sociodemographic and clinical characteristics were compared according to Medicaid enrollment status. Analyses were performed to assess differences in the frequency of operative treatment, time to surgery, length of stay, and rates of readmission. RESULTS: The sample included 1,257 patients, 10.7% of whom (n = 135) were enrolled in Medicaid. The proportions of patients presenting with perforated appendicitis (28.9% vs 31.2%, P = .857) and undergoing laparoscopic appendectomy (96.3% vs 90.7%, P = .081) were similar between the 2 groups, as were length of stay (20 hours 30 minutes versus 22 hours 38 minutes, P = .109) and readmission rates (17.8% vs 14.5%, P = .683). Medicaid enrollees did experience somewhat greater time to surgery (6 hours 47 minutes versus 4 hours 49 minutes, P < .001). CONCLUSION: Despite anticipated differences in population, the treatment of appendicitis was similar between Medicaid and non-Medicaid enrollees. Medicaid enrollees experienced greater time to surgery; however, further studies are needed to explain this disparity in care.
BACKGROUND: Studies using national data sets have suggested that insurance type drives a disparity in the care of emergency surgery patients. Large databases lack the granularity that smaller, single-institution series may provide. The goal of this study is to identify factors that may account for differences in care between Medicaid and non-Medicaid enrollees with appendicitis in central Massachusetts. METHODS: All adult patients with acute appendicitis in an academic medical center between 2010 and 2018 were included. Sociodemographic and clinical characteristics were compared according to Medicaid enrollment status. Analyses were performed to assess differences in the frequency of operative treatment, time to surgery, length of stay, and rates of readmission. RESULTS: The sample included 1,257 patients, 10.7% of whom (n = 135) were enrolled in Medicaid. The proportions of patients presenting with perforated appendicitis (28.9% vs 31.2%, P = .857) and undergoing laparoscopic appendectomy (96.3% vs 90.7%, P = .081) were similar between the 2 groups, as were length of stay (20 hours 30 minutes versus 22 hours 38 minutes, P = .109) and readmission rates (17.8% vs 14.5%, P = .683). Medicaid enrollees did experience somewhat greater time to surgery (6 hours 47 minutes versus 4 hours 49 minutes, P < .001). CONCLUSION: Despite anticipated differences in population, the treatment of appendicitis was similar between Medicaid and non-Medicaid enrollees. Medicaid enrollees experienced greater time to surgery; however, further studies are needed to explain this disparity in care.